An Early Diagnosis of Oral Cancer based on Three-Dimensional Convolutional Neural Networks

An Early Diagnosis of Oral Cancer based on Three-Dimensional Convolutional Neural Networks

Three-dimensional convolutional neural networks (3DCNNs), a rapidly evolving modality of deep learning, has gained popularity in many fields. For oral cancers, CT images are traditionally processed using two-dimensional input, without considering information between lesion slices. In this paper, we...

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Bibliographic Details
Main Authors: Shipu Xu, Chang Liu, Yongshuo Zong, Sirui Chen, Yiwen Lu, Longzhi Yang, Eddie Y. K. Ng, Yongtong Wang, Yunsheng Wang, Yong Liu, Wenwen Hu, Chenxi Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
2DCNNs
3DCNNs
CT images
spatial features
spatial dynamics extracted
Online Access:https://ieeexplore.ieee.org/document/8887444/

Internet

https://ieeexplore.ieee.org/document/8887444/

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